Tools

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Recipe

Merge using sd-mecha for ComfyUI. ( below sd-mecha format recipe )

model "sd_xl_base_1.0.safetensors" "sdxl" "base"
model "obsessionIllustrious_vPredV11.safetensors" "sdxl" "base"
model "r3mixIllu01NAIVPred_v10.safetensors" "sdxl" "base"
model "silvermoonmix01_v30VPred.safetensors" "sdxl" "base"
model "hiyokodarkness_v20.safetensors" "sdxl" "base"
model "noob_v_pencil-XL-v1.2.0.safetensors" "sdxl" "base"
model "illustrious_pencil-XL-v4.0.0.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_vPred10Version.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
merge "train_difference" &6 &7 &8 alpha=1.25
merge "slerp" &6 &9 alpha=0.8
merge "subtract" &10 &6
dict sdxl_txt2_default=1.0 sdxl_txt_default=0.5 sdxl_unet_default=0.2
merge "add_difference" &10 &11 alpha=&12
merge "add_cosine_b" &5 &13 alpha=0.65
dict sdxl_txt2_default=1.0 sdxl_txt_default=1.0 sdxl_unet_default=0.0
merge "weighted_sum" &14 &13 alpha=&15
merge "add_cosine_a" &4 &16 alpha=0.6
merge "add_cosine_a" &3 &17 alpha=0.85
merge "add_cosine_b" &2 &18 alpha=0.35
merge "add_cosine_a" &1 &19 alpha=0.85
merge "slerp" &20 &16 alpha=0.2
model "noob_v_pencil-XL-1.0.safetensors" "sdxl" "base"
merge "subtract" &22 &7
merge "add_difference" &21 &23 alpha=0.65
model "hikariNoobVPred_120.safetensors" "sdxl" "base"
merge "train_difference" &24 &25 &7 alpha=0.4
merge "train_difference" &26 &5 &7 alpha=0.5
merge "add_cosine_b" &0 &27 alpha=0.75
merge "slerp" &27 &16 alpha=0.75
merge "add_cosine_b" &28 &29 alpha=0.4
model "Illustrious-XL-v0.1.safetensors" "sdxl" "base"
merge "subtract" &31 &0
merge "add_difference" &0 &32 alpha=1.0
model "Illustrious-XL-v1.1.safetensors" "sdxl" "base"
merge "subtract" &34 &31
merge "add_difference" &33 &35 alpha=1.0
merge "subtract" &7 &31
merge "add_difference" &36 &37 alpha=0.75
model "animagine-xl-4.0-opt.safetensors" "sdxl" "base"
merge "subtract" &39 &0
merge "add_difference" &38 &40 alpha=0.25
dict sdxl_txt2_default=1.0 sdxl_txt_default=0.0 sdxl_unet_default=0.0
merge "weighted_sum" &36 &41 alpha=&42
merge "weighted_sum" &30 &43 alpha=&15

Add v_pred and ztsnr keys.

BASE_MODEL_NAME = "noob_v_pencil-XL-v2.0.0"

tensors = {}
with safe_open(BASE_MODEL_NAME + "-base.safetensors", framework="pt", device="cpu") as f:
    for key in f.keys():
        tensors[key] = f.get_tensor(key)

tensors["v_pred"] = torch.tensor([0.0])
tensors["ztsnr"] = torch.tensor([0.0])

save_file(tensors, BASE_MODEL_NAME + ".safetensors")